Data Engineering Consulting

Turning plans into pipelines.

A data strategy only delivers if the engineering behind it holds up. SEI's data engineering consultants work hands-on with your teams to design, build, and optimize the pipelines, integrations, and platforms that make your data usable, reliable, and ready for what's ahead.

About SEI

Build the infrastructure your data strategy depends on

Every data strategy needs an engine behind it. At SEI, our consultants work hands-on with your teams to design, build, and optimize the pipelines, integrations, and platforms that make data usable, reliable, and production-ready. Together, we close the gap between a strong data vision and systems that actually hold up.

Real clients, real results

Here’s what well-built data engineering has delivered for organizations that brought SEI in to do the work.

$1M

Revenue generated in the first year after building a cloud-based customer data platform for a national real estate firm, enabling real-time personalization.

$300K

Saved annually by replacing manual reporting processes with automated advanced analytics pipelines — with a 50%+ efficiency gain along the way.

25%

Reduction in CRO service costs for a life sciences client achieved by centralizing and streamlining clinical data across the organization.

The data pipeline problem is bigger than most teams realize

Fragile pipelines, siloed systems, and integration debt are quietly limiting what organizations can do with their data.

30–40% of data pipelines at enterprise organizations experience failures on a weekly basis, meaning teams are spending more time on maintenance.

90% of AI and machine learning projects depend on data engineering pipelines.

64% of organizations report legacy system dependencies consuming 16 or more hours per week in engineering time.

Talk to Us

Interested in collaborating, or just want to learn more about SEI? Drop us a line! We'd love to hear from you.

Have questions about data engineering?

What is data engineering consulting?

Data engineering consulting is the practice of designing, building, and optimizing the systems that move and transform data: pipelines, integrations, data platforms, and the infrastructure that keeps them running reliably. A consultant brings outside expertise and hands-on delivery capacity to help organizations build data infrastructure faster and with fewer costly mistakes.

What does a data engineering consultant do?

A data engineering consultant assesses your current data infrastructure, identifies gaps, and gets to work fixing them. That includes designing pipeline architecture, building integrations between systems, improving data quality at the source, and making sure your data is accessible and reliable for analytics and AI use cases.

How is data engineering different from data science?

When should an organization bring in a data engineering consultant?

When internal teams are spending more time fixing pipelines than building new capability. When data silos are preventing analytics or AI initiatives from moving forward. When a major platform migration, architecture redesign, or new data product needs outside expertise to deliver on time and on budget.

How we can help

Whether refining industry-specific processes or enhancing critical business functions, discover how SEI’s expertise can elevate your organization’s performance.

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Corporate Strategy Distribution & Logistics Finance Research & Development Technology

INDUSTRIES See All

Financial Services Healthcare Life Sciences Retail & E‑Commerce Supply Chain